Hypothesis evaluation based on ubicomp sensing: moving from researchers to users
Farahnaz Yekeh, Judy Kay · 2013
Emerging pervasive sensing technology provides new ways to create persuasive systems that can help people improve their health. Much persuasive computing research has involved the exploration of re- searchers 'h ypotheses about the ways that such ubicomp sensing can improve health. Our work aims to enable individual users to test their personal hypotheses about how their actions, as tracked by ubicomp sensors, and the interface tools that they elect to use, actually impact their health goals. This paper defines the notion of personal hypothesis evaluation. It then outlines a ubicomp architecture for the infrastructure and interfaces needed to enable a person to formulate a personal health hypothesis and then test it over a long time period, weeks, months or even years. Our key contribution is the definition of a new approach to creating a new class of user-controlled ubicomp persuasive system.